2 papers
cs.NE2026
Sharpness-Aware Surrogate Training for On-Sensor Spiking Neural Networks
Maximilian Nicholson
Spiking neural networks (SNNs) are a natural computational model for on-sensor and near-sensor vision, where event driven processors must operate under strict power budgets with ha…
cs.NE2026
Sharpness Aware Surrogate Training for Spiking Neural Networks
Maximilian Nicholson
Surrogate gradients are a standard tool for training spiking neural networks (SNNs), but conventional hard forward or surrogate backward training couples a nonsmooth forward model…